Development of a patent roadmap through the Generative Topographic Mapping and Bass diffusion model

Yujin Jeong, Keeeun Lee, Byungun Yoon, Rob Phaal

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

This paper aims to present a novel concept roadmap - the patent roadmap - and suggest an advanced patent roadmapping process, based on the Generative Topographic Mapping (GTM) and Bass diffusion model. The process for patent roadmapping is composed of two modules: Developing the GTM-based patent map and determining the appearance time of the emerging patent through Bass model. The result of this research is meaningful knowledge from analyzing a vast store of patent data with quantitative methods and automated tools. It can serve as an effective patent planning tool, and proposes a strategic Research and Business Development (R&BD) for both firms and governments.

Original languageEnglish
Pages (from-to)53-70
Number of pages18
JournalJournal of Engineering and Technology Management - JET-M
Volume38
DOIs
StatePublished - 1 Oct 2015

Keywords

  • Bass diffusion model
  • Generative Topographic Mapping (GTM)
  • Patent planning and forecasting
  • Patent roadmap
  • Visualization

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